Geojson Testing

Setup

Packages

# Packages
require(ggplot2)
require(plotly)
require(geojsonio)
require(sp)
require(sf)
require(rvest)
require(RSelenium)
require(htmltools)
require(ggmap)
require(lubridate)
require(stringr)

Data

# Download file for state info

url = "https://opendata.arcgis.com/datasets/5f45e1ece6e14ef5866974a7b57d3b95_1.geojson"

file = "NJ_counties.geojson"

download.file(url,file)

rm(url)

# Convert file to sf object 

file = "NJ_counties.geojson"

NJ_Counties <-
  geojson_sf(file)
rm(file)

#get page source from website

gc()
driver <- rsDriver(browser = c("firefox"), port = 44454L)
remote_driver <- driver[["client"]] 
remote_driver$navigate("https://www.childrens-specialized.org/locations-directory/?")

page <- remote_driver$getPageSource()

# Retrieve information from directory

Xpathgen1 = "/html/body/div[1]/div/div/div[2]/div/div[2]/div["

Xpathgen2 = "]/div/div[2]/article"

Hosinfo <- data.frame()

for (i in 1:15){
  XPath <- paste(Xpathgen1,i,Xpathgen2,sep = "")
  Node <- page[[1]] %>% 
    read_html() %>%
    html_nodes(xpath = XPath)
  name <-
    Node[[1]] %>%
    html_node("h2") %>%
    html_text()
  address <-
    Node[[1]] %>%
    html_node("h3") %>%
    html_text() %>%
    gsub(pattern = "\n *",replacement = " ", x = .)
  for (i in 1:7){
  XPathday <- paste(XPath,"/div[",i,"]",sep = "")
  day <- page[[1]] %>% 
    read_html() %>%
    html_nodes(xpath = XPathday) %>%
    html_attr("class") %>%
    grep("-Hours",x = .,value = TRUE) %>%
    gsub("-Hours","",x = .)
  times <-
    page[[1]] %>% 
    read_html() %>%
    html_nodes(xpath = XPathday) %>%
    html_node("h3") %>%
    html_text()
  assign(day,times)
  }
  row = data.frame(name,address,Monday,Tuesday,Wednesday,Thursday,Friday,Saturday,Sunday)
  Hosinfo <-  rbind(Hosinfo,row)
}

# Write csv file 

write.csv(Hosinfo, "Hospitals.csv")

write.csv("Hospitalsloc.csv")

"","x"
"1","Hospitalsloc.csv"

Graphs

# Population heat maps of NJ using plotly and plot

NJ_Counties_Cleaned <- 
  NJ_Counties %>%
  transmute(
    county = COUNTY,
    CO = CO,
    pop = POP2010,
    popdensity = POPDEN2010,
    Shape_Length = Shape_Length,
    Shape_Area = Shape_Area,
    GNIS = GNIS
  )




NJ <-
  NJ_Counties_Cleaned %>%
  ggplot() +
  geom_sf(aes(fill = pop)) +
  theme(legend.position = "None") +
  theme(axis.ticks.x = element_blank(),
        axis.text.x = element_blank())

ggplotly(NJ)

plot(NJ_Counties_Cleaned["pop"])

# Location of Hospitals in NJ 

read.csv()